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Feature by feature comparison between Hadoop-MapReduce and Apache Spark

This tutorial provides thorough comparison between Apache Spark and Hadoop MapReduce.

Apache Spark:
Open source big data framework. It provides faster and more general purpose data processing engine. It is basically designed for fast computation. It covers wide range of workloads Such as batch, interactive, iterative and streaming
MapReduce
Open source framework for writing applications which processes structured and unstructured data that are stored in HDFS. Hadoop mapreduce is designed in a way to process large volume of data on a cluster of commodity hardware. MapReduce can process data in batch mode

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